Real-time detection of apnea via signal processing of time-series properties of RFID-based smart garments

William M. Mongan, Ilhaan Rasheed, Khyati Ved, Ariana Levitt, Endla Anday, Kapil Dandekar, Genevieve Dion, Timothy Kurzweg, Adam Fontecchio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Signal processing of time-series properties of Radio Frequency Identification (RFID) tags and novel work in textile knitted antennas for garment devices have enabled real-time detection of motion-based artifacts through unobtrusive, wireless, wearable devices. Capturing the Received Signal Strength Indicator (RSSI) as a time-series signal, we classify whether the subject is breathing or not, estimate the rate at which the subject is breathing, and classify whether the tag is moving in a linear, non-stretched fashion. We improve upon previous efforts to classify subject state from RSSI signals by eliminating the need to train the classifier with both breathing and non-breathing sample data (which is biologically infeasible). To test our approach, we use a programmable breathing infant mannequin yielding accurate detection of cessation of respiratory activity within 5 seconds, and a maximum root-mean-square error of 7 per minute when computing the respiratory rate.

Original languageEnglish (US)
Title of host publication2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509067138
DOIs
StatePublished - Feb 7 2017
Event2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Philadelphia, United States
Duration: Dec 3 2016 → …

Publication series

Name2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings

Other

Other2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016
Country/TerritoryUnited States
CityPhiladelphia
Period12/3/16 → …

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering

Fingerprint

Dive into the research topics of 'Real-time detection of apnea via signal processing of time-series properties of RFID-based smart garments'. Together they form a unique fingerprint.

Cite this